摘要
针对航天多年积累的大量不同形式与格式质量数据的电子化、信息化处理需求,以及大数据应用趋势要求,给出了基于文本挖掘分析技术的航天质量数据整理步骤与应用方向,该流程与方法可将各单位的历史质量数据进行有效的规范整理,并用于航天产品的质量问题隐患分析、航天产品研制单位的质量能力水平评价等方向。
In view of the requirements of electronic and information processing of a large volume of quality data in different forms and formats accumulated over the years and the application trend of big data,the steps and application directions of space quality data processing based on text mining and analysis technology are given,which can unify the quality history data of various units.It is applied to the hidden danger analysis of product quality problems and the direction of evaluation of guidance ability level of aerospace product development units.
作者
王志梅
鲍智文
王禹铭
杨铭
Wang Zhimei;Bao Zhiwen;Wang Yuming;Yang Ming(China Austronautics Standards Institute,Beijing 100071,China)
出处
《质量与可靠性》
2021年第1期43-47,共5页
Quality and Reliability
